San Francisco just delivered a headline that cuts through the noise in tech news. On February 8–9, 2026, Databricks, Inc. reported a $5.4B annualized revenue run rate, more than 65% year over year growth in fiscal Q4, and over $7B in newly closed capital. This is not speculative heat. It is audited momentum. In a market that rewards proof over promise, Databricks showed its work.
Ali Ghodsi, Co Founder and CEO of Databricks, framed the moment with numbers, not adjectives. Roughly $5B in equity closed at a $134B valuation, alongside about $2B in new debt capacity. That capital stack signals institutional conviction at a scale few private technology companies ever reach. The fiscal fourth quarter, ending January 31, 2026, delivered more than 65% year over year growth while the company remained free cash flow positive over the last 12 months. Growth with oxygen. Expansion with discipline.
The operating metrics read like enterprise gravity in motion. Net revenue retention above 140%. More than 800 customers generating over $1M in annual revenue run rate. More than 70 surpassing $10M. That concentration of high value accounts is not decorative. It is structural. It suggests Databricks is embedded deep inside mission critical workflows, not orbiting them.
Then comes the AI engine. Databricks’ AI products alone are running at $1.4B in revenue. In a climate where every boardroom utters AI like a mantra, Databricks translates it into booked revenue. This is where tech news becomes market signal. AI is not a slide. It is a line item.
Ali Ghodsi made clear that fresh capital will double down on Lakebase and Genie. Lakebase is positioned as an operational database built for AI agents, a foundation for systems that act, not just analyze. Genie enables employees to chat with their data for accurate, actionable insights. If the lakehouse unified data, Lakebase operationalizes it, and Genie humanizes it. Infrastructure, intelligence, interface. Tight loop.
Databricks has long defined itself as the Data and AI company, delivering a unified Data Intelligence Platform across data engineering, warehousing, governance, and AI workloads. This announcement reinforces that identity with scale few private companies can claim. A $134B valuation does not materialize from ambition alone. It follows revenue density, expansion efficiency, and strategic clarity.
Within the broader tech news cycle, this moment lands differently. It is not just another funding headline. It is a late stage company operating with public market metrics while still private. With $7B in fresh capital, accelerating AI revenue, and retention north of 140%, Databricks is building optionality. The lake is deep. The base is operational. The genie is conversational. And the markets are watching closely, calculating what comes next.
